Potential-based reward shaping for knowledge-based, multi-agent reinforcement learning
Reinforcement learning is a robust artificial intelligence solution for agents required to act in an environment, making their own decisions on how to behave. Typically an agent is deployed alone with no prior knowledge, but if given sufficient time, a suitable state representation and an informativ...
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University of York
2013
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.589322 |